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Federal Highway Administration Research and Technology
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FACT SHEET
This fact sheet is an archived publication and may contain dated technical, contact, and link information
Publication Number:  FHWA-HRT-15-070     Date:  August 2015
Publication Number: FHWA-HRT-15-070
Date: August 2015

 

Automated Video Analysis

Analyzing Large Quantities of Transportation Research Data

Logo. The Exploratory Advanced Research Program’s logo of a camera over a street intersection.

The Exploratory Advanced Research Program Fact Sheet

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Exploratory Advanced Research . . . Next Generation Transportation Solutions

 

Graphic. Two images captured with two different object-detection tools of the same urban scene of cars parallel parked on a street. The first image is a photo of the scene, where four of the detected parked cars have each been highlighted in a different color (red, green, purple, and blue). The second image is a black-and-white graphic depiction of the same parked cars, this time with the detected cars highlighted in white against a black background. Only the detected parked cars are shown in the black-and-white graphic; the other objects in the scene are not visible. However, the images of the two cars on the right are obstructed by the presence of street lamp poles, which break up the images of those cars and make them more difficult to detect.
A typical challenging situation for identifying discreet objects in a cluttered urban environment.

The second Strategic Highway Research Program (SHRP 2) Safety research area has produced unprecedented data for highway researchers in the form of the naturalistic driving study (NDS). With approximately 2 petabytes of data available to researchers, most of which is video data, new automated tools for data extraction and analysis are required. Developing a prototype tool was the goal of the Exploratory Advanced Research (EAR) Program project, “Machine Learning for Automated Analysis of Large Volumes of Highway Video.” The National Robotics Engineering Center, at Carnegie Mellon University (CMU), conducted this research, which was funded by the Federal Highway Administration (FHWA) in 2012.

FHWA-HRT-15-070 PDF Cover Image

 

 

 

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